Start even smaller, and then more random. Comment on start small, not random: why does justifying your time-lag matter? by Yannick Griep, Ivana Vranjes, Johannes M. Kraak, Leonie Dudda, & Yingjie Li
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2022
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Dormann, C.
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Spanish Journal of Psychology, The, 2022; 25(4, article no. e20):1-4
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The focal article by Griep and colleagues raises some highly important issues and it is timely to further advance organizational behavior (OB) and work and organizational psychology (WOP). It comes at the right time because the last two decades can be characterized by two opposing trends. On the one hand, there have been exciting developments in statistical methods to appropriately model time in statistical analyses, while on the other hand, the vast majority of studies have not considered time in analyses, or have not done so appropriately. For the sake of brevity, I use 'temporal design' and 'temporal analysis' as umbrella terms. As Griep et al. succinctly claim, many opportunities for better temporal designs and temporal analyses have been missed and there is a strong need to do better in the future. In this commentary, I add to some of the important issues raised and call for changes in future research
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Copyright 2022 The author(s). Published by Cambridge University Press on behalf of Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Access Condition Notes: This is an Open Access article, distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives licence, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.